{"id":"W2806219863","doi":"10.1103/physreve.98.022114","title":"Anomalously slow transport in single-file diffusion with slow binding kinetics","year":2018,"lang":"en","type":"article","venue":"Physical review. E","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kinetics; Thermal diffusivity; Scaling; Diffusion; TRACER; Physics; Transient (computer programming); Statistical physics; Particle (ecology); Thermodynamics; Geometry; Mathematics; Geology; Classical mechanics; Computer science; Nuclear physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006331965,0.0002707371,0.0005311099,0.00006881369,0.00005340499,0.000006813291,0.0001443131,0.00003903787,0.0001233287],"category_scores_gemma":[0.00001095784,0.0002092793,0.0001101201,0.0005449689,0.00008921494,0.00009665839,0.00001266306,0.0001608871,0.0001035813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004449956,"about_ca_system_score_gemma":0.000008576003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001376132,"about_ca_topic_score_gemma":0.000101573,"domain_scores_codex":[0.9988187,0.00001279172,0.0002916221,0.0002628954,0.0002303188,0.0003837],"domain_scores_gemma":[0.9995428,0.00005000371,0.00003963032,0.0002335195,0.00004662571,0.00008742571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003272961,0.004694341,0.04541335,0.01720125,0.00061928,0.0007885348,0.007253401,0.0006504332,0.7507272,0.001141348,0.04193279,0.1292508],"study_design_scores_gemma":[0.006367344,0.006307567,0.1196099,0.03929403,0.001403902,0.0000693035,0.0002354397,0.007448561,0.2783261,0.001881949,0.5329831,0.006072792],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887574,0.004405992,0.0006675542,0.0001110989,0.0001578481,0.000421479,0.00008149829,0.0002046625,0.005192449],"genre_scores_gemma":[0.9945559,0.004380551,0.0003401435,0.00009830089,0.0003101028,0.00005263154,0.00009047208,0.00005434438,0.0001175473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4910503,"threshold_uncertainty_score":0.8534161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300554472748174,"score_gpt":0.2391945637558072,"score_spread":0.2261890190283254,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}